Quality of Experience (QoE)-aware placement of applications in Fog computing environments

Mahmud, Redowan; Srirama, Satish Narayana; Ramamohanarao, Kotagiri; Buyya, Rajkumar

doi:10.1016/j.jpdc.2018.03.004

Cited by 265 publications

(182 citation statements)

References 14 publications

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“…43 Other papers defined a general resource model and they did not focus on the specific resource components. 26,29,61 Mahmud et al 44 also considered a general resource value, but they additionally defined the service demand and device capacity in terms of the expected and offered processing times. On the contrary, this model was sometimes simplified to a scalar value that represents a general capacity unit 27,35,[51][52][53] or with general resources slots.…”

Section: Node Constraintsmentioning

confidence: 99%

How to place your apps in the fog: State of the art and open challenges

et al. 2019

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Summary Fog computing aims at extending the cloud towards the Internet of things so to achieve improved quality of service and to empower latency‐sensitive and bandwidth‐hungry applications. The fog calls for novel models and algorithms to distribute multiservice applications in such a way that data processing occurs wherever it is best placed, based on both functional and nonfunctional requirements. This survey reviews the existing methodologies to solve the application placement problem in the fog, while pursuing three main objectives. First, it offers a comprehensive overview on the currently employed algorithms, on the availability of open‐source prototypes and on the size of test use cases. Second, it classifies the literature based on the application and fog infrastructure characteristics that are captured by available models, with a focus on the considered constraints and the optimized metrics. Finally, it identifies some open challenges in application placement in the fog.

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Section: Node Constraintsmentioning

confidence: 99%

How to place your apps in the fog: State of the art and open challenges

et al. 2019

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“…Furthermore, the high flexibility of resource management is necessary to manage the fog service because it is useful for achieving an optimal solution using most of the offered algorithms in the articles. 1 In addition, Tuli et al 52 have proposed a novel framework called HealthFog for integrating ensemble deep learning and deployed it for a real-life application of automatic Heart Disease analysis. HealthFog delivers healthcare as a fog service using IoT devices and efficiently manages the data of heart patients, which comes as user requests.…”

Section: Figurementioning

confidence: 99%

“…With the exponential development rate of technology, the future of all events involves an omnipresence of widely connected devices, Internet of Things (IoT). Today's computing and networking methods are quickly extending the IoT usages in numerous fields . While Cloud Computing (CC) has laid a foundation for providing computing resources to end users, fog is taking its first steps toward making IoT clouds more elastic by leveraging the computation capabilities at the cloud and edge level …”

Section: Introductionmentioning

confidence: 99%

“…Today's computing and networking methods are quickly extending the IoT usages in numerous fields. 1 While Cloud Computing (CC) has laid a foundation for providing computing resources to end users, 2 fog is taking its first steps toward making IoT clouds more elastic by leveraging the computation capabilities at the cloud and edge level. 3 The Fog Computing (FC) and its associated Edge Computing (EC) patterns, like multiaccess EC and cloudlet, 4 are considered as useful methods for tackling the huge amount of data (time-sensitive and security-critical) generated by the IoT.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive study on managing strategies in the fog environments

Wang

Panpan

Batiha

2019

Trans Emerging Tel Tech

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Although cloud computing application is rising, some unanswered problems still exist because of its inner issues like untrustworthy inactivity, the absence of movement backing, and place awareness. Therefore, fog computing has appeared as a hopeful infrastructure to supply flexible resources at the edge of the network. Fog supplies processing, data, storing, and application amenities to ultimate operators. The management strategies have a great impact on fog computing, such as monitoring and optimizing, the correlated components for improving the performance, availability, security, and any fundamental operational requirement. However, as far as we know, no organized study exists about analyzing their importance in fog environments. This paper provides a detailed survey for covering the current state‐of‐the‐art in fog management. This paper classifies the management strategies into three main categories: data management, energy, and resource. We also presented a few prospects and problems like the suggestions for the upcoming studies in the associated methods requiring to be investigated in fog computing. Moreover, a new paradigm has been ensured by increasing fog functionality and resource consumption. In general, fog management strategies in computing environments still need improvements in the variety of its setting to convert to an on‐request method, decrease the associated overhead, and improve the performance. Therefore, proper management can maintain the least resource consumption, which will finish the extra decrease in energy usage. Therefore, we contribute to provide strong suggestions for future fog computing studies. This paper can handle the pace of publications and propose the outcomes of study and practice as an upcoming route for decision makers in healthcare. In principle, the increase of researchers, scientists and managers' awareness level would increase the managers' good and knowingly behavioral conduct on managing fog environments.

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“…Through these nodes, Fog provides Cloud-like services such as infrastructure, platform and software closer to the IoT data sources and supports application execution. Consequently, it reduces service delivery time and network congestion, and improves Quality of Service (QoS) and user experience [7]. However, unlike Cloud datacenters, Fog nodes are resource constrained and heterogeneous.…”

Section: Introductionmentioning

confidence: 99%

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

Tuli

Mahmud

Buyya

2019

Journal of Systems and Software

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328

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The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. Although there are a number of real-world frameworks attempt to support such integration, they have many limitations from various perspectives including platform independence, security, resource management and multi-application assistance. To address these limitations, we propose a simplified but effective framework, named FogBus for facilitating end-to-end IoT-Fog(Edge)-Cloud integration. FogBus offers a platform independent interface to IoT applications and computing instances for execution and interaction. It not only assists developers in building applications but also helps users in running multiple applications at a time and service providers to manage their resources. In addition, FogBus applies Blockchain, authentication and encryption techniques to secure operations on sensitive data. Because of its lightweight and cross platform software systems, it is easy to deploy, scalable and cost efficient. We demonstrate the effectiveness of our framework by creating a computing environment with it that integrates finger pulse oximeter as IoT devices with Smartphone-based gateway and Raspberry Pi-based Fog nodes for Sleep Apnea analysis. We also run several experiments on this computing environment varying FogBus settings. The experimental results show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure.

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Quality of Experience (QoE)-aware placement of applications in Fog computing environments

Cited by 265 publications

References 14 publications

How to place your apps in the fog: State of the art and open challenges

How to place your apps in the fog: State of the art and open challenges

A comprehensive study on managing strategies in the fog environments

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

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